Historical Disaster Data Grid for Natural Disaster Events

Historical Disaster Data Grid for Natural Disaster Events Prof. Guoqing Li CEODE/CAS March 30, 2009, Newport Beach, USA Presented to 4 th China-US Roundtable Meeting on CODATA

Why we need Historical Disaster Data? Global distribution of natural disasters Climate Change is the mixed and interactive result of earth evaluation and human activities. Natural Disaster is getting much more serious from such interactivities.

Hotspots of major natural disasters

Global Major Natural Disasters

Disaster affect the poor strongly

Scientific Data and Disaster Mitigation p The mitigation activities from scientific society u. Prediction u. Monitoring u. Re-Construction p Well-using of Scientific Data is very important for disaster reductions u. Earth Observation Data u. In-situ Data u. Thematic Data u. Background Data u. Social-economic Data

The Gap of Data using in Disaster Mitigation p Capacity of satellite observation u orbit, sensor, weather condition…. . p Capacity of real-time processing u Disaster thematic model u Fast detection software u Supporting from Supercomputers p Capacity of data infrastructure u Distributed data providers u Complicated searching and accessing p Historical Data u Background Data u Comparative Data u Pass Events’ Data

Data Using Analyses of Wenchuan Earthquake Disaster (12 May, 2008) The duration of high frequent data using in Wenchuan case is only three weeks Case 1： Wenchuan Earthquake

Case 2：World Flood Monitoring Grid - Materials from Prof. Nataliia Kussul, NASU-NSAU

Ukraine, river Tisza, 2001 Vietnam, 2008 China, river Huaihe, 2007 Mozambique, river Zambezi, 2008 India and Nepal, river Koshi, 2008 Zambia, river Zambezi, 2009

World Flood Monitoring Grid

HDDG as an e-infrastructure p Targets of Historical Disaster Data Grid u. To archive the scientific data of each disaster (above certain level) u. To bridge disaster event with international EO data infrastructures u. To make easy accessing of assistant EO data from volunteer space agencies u. To collect and provide the necessary background data and disaster evaluation data u. To keep and promote the data democracy around the world u. To make it possible for disaster suffering country and region to generate thematic disaster information by themselves

p Data on certain disaster event should ube captured We are here l (ordering, imaging, receiving and preprocessing) ube provided l (authorization, publishing and transfer) ube stored l (save to disks and databases, temporary storage) ube managed Way to go l (metadata generating, re-formatting, registration) ube archived l (operational and long term storage) ube reused l (scientific study and comparative using)

Ecosystem of HDDG UNOOSA ISDR UN-Spider IRDR IPO ICSU HDDG GEOSS Disaster SBA Tasks ADC Disaster Suffered Country CEOS & UN Disaster Charter

Data Collection Points (DCPs) of HDDG DCP @Europe DCP @NA DCP @Aisa HDDG DCP @Africa DCP @SA

HDDG Technical Overview p For data provider u. Distributed data collection storages around the world (At least one DCP for every continental ? ) u. Decentralized architecture (Grid. . ) u. OGC compatible integration middleware for existent data infrastructures u. Original format data upload u. Multi-point upload p For data user u. One-stop portal for accessing u. Self-defined portal and Local language service u. Free access to all metadata and security access to physical data

HDDG Architecture Regional Portal Thematic Portal Engine Distributed Clearinghouse GEOSS Data Infrastructure Data Resource Data Collection Points Space Agency

Disaster Field Portals Data Modeling Fast Process Tools Data Harvest Clearinghouse Data Collection Data Storage

Future of HDDG p HDDG is widely being consulted with potential support communities and users p Interest and supports have given by u. CEOS/WGISS u. UN-SPIDER u. ICSU/IRDR u. UNGaid /e-SDDC u. ISDE u. China (CAS) u. GENESI-DR u……

Questions to be thought p Data Policy ufrom observation data provider ufrom thematic information provider ufrom data covered country p Cooperate with world-level activities u. International Charter, UN-SPIDER, ICSU/IRDR uto connect with and response to the disaster call p Collaboration with operational Data System utechnical approach (NG-SDI) p Long term operation mechanism

Suggested Cooperation Opportunities p To contribute the DCP (data collection point) for Asia and North American u DCP@Asia l CAS (CNIC&CEODE) has decided to provide 100 TB on-line space u DCP@NA l Who will be the hoster? p To collaborate on the developing of the virtual SDI components l A prototype is scheduled to be presented by CAS(CEODE&CNIC) to UN-SPIDER and ICSU/IRDR this November (GEOSS summit @ Beijing). l Similar prototype study is desired to be taken by US partner. l Joint team to work together

Chinese Prototype @ 2010 -11

Guoqing Li (gqli@ceode. ac. cn)